Staff AI Engineer
Tasks
- Build and maintain backend services
- Build event driven asynchronous processes
- Contribute to frontend integrations
- Develop and integrate RESTful APIs
- Develop workflow orchestration
- Implement secure data handling
- Implement serverless architectures
- Improve logging monitoring and debugging
- Improve reliability with error handling and retries
- Integrate third-party services
- Optimize performance and scalability using DynamoDB patterns
- Own end-to-end feature delivery
- Participate in code reviews
- Support cloud deployments and releases
- Troubleshoot production issues
- Use AI-assisted development tools
- Write unit-tested code
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | API Integration | AWS Lambda | AWS Step Functions | Agent Orchestration | Amazon EventBridge | Amazon SQS | Asynchronous processing | Composite keys | Database Design | Debugging | Docker | DynamoDB | DynamoDB Streams | Embeddings | Event Driven | Event-driven architecture | Function Calling | LLM | Logging | Monitoring | Multi-Agent | Multi-agent orchestration | NoSQL | Node.js | OpenSearch | Prompt engineering | Python | RAG | REST APIs | RESTful APIs | S3 | SQL | Serverless | Single Table Design | State machines | Step Functions | Table design | Tool-Calling | Transactional Writes | Unit Testing | Vector Databases | Workflow Orchestration
Education
N/A
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